A comparison between Landsat ETM+ and MODIS/TERRA images for detecting deforestation increments in the Eastern Acre region

In this paper we evaluated the capacity of MODIS images with 250 m spatial resolution to detect and map deforestation increments relative to the capacity of Landsat ETM+ images. This study was conducted in the state of Acre covering an area of 34,225 km². Our results show that the 250 m MODIS images...

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Main Authors: Anderson da S. Costa, Carlos M. de Souza Jr.
Format: Article
Language:English
Published: Universidade Federal de Uberlândia 2005-08-01
Series:Revista Brasileira de Cartografia
Subjects:
Online Access:http://www.rbc.ufrj.br/_pdf_57_2005/57_2_05.pdf
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spelling doaj-5257fa1089114b9aa84148833cad11242020-11-25T02:14:52ZengUniversidade Federal de UberlândiaRevista Brasileira de Cartografia0560-46131808-09362005-08-0157293102A comparison between Landsat ETM+ and MODIS/TERRA images for detecting deforestation increments in the Eastern Acre regionAnderson da S. CostaCarlos M. de Souza Jr.In this paper we evaluated the capacity of MODIS images with 250 m spatial resolution to detect and map deforestation increments relative to the capacity of Landsat ETM+ images. This study was conducted in the state of Acre covering an area of 34,225 km². Our results show that the 250 m MODIS images are highly accurate to detected deforestation larger than 3 ha. Additionally, MODIS can be used to estimate the area subject to deforestation with increments larger than 70 ha with an error of less than 5% relative to the estimates obtained with Landsat images. Finally, we estimated that 86% of the total area deforested in the state of Acre between 2002 and 2003 can be detected and mapped with MODIS. Therefore, the 250 m-pixel MODIS images can be useful to monitor the forest changes due to deforestation in the Brazilian Amazon in more regular basis, overcoming the low temporal coverage of Landsat due to frequent cloud cover in the region.http://www.rbc.ufrj.br/_pdf_57_2005/57_2_05.pdfRemote sensingdeforestationAmazonMODISLandsat.
collection DOAJ
language English
format Article
sources DOAJ
author Anderson da S. Costa
Carlos M. de Souza Jr.
spellingShingle Anderson da S. Costa
Carlos M. de Souza Jr.
A comparison between Landsat ETM+ and MODIS/TERRA images for detecting deforestation increments in the Eastern Acre region
Revista Brasileira de Cartografia
Remote sensing
deforestation
Amazon
MODIS
Landsat.
author_facet Anderson da S. Costa
Carlos M. de Souza Jr.
author_sort Anderson da S. Costa
title A comparison between Landsat ETM+ and MODIS/TERRA images for detecting deforestation increments in the Eastern Acre region
title_short A comparison between Landsat ETM+ and MODIS/TERRA images for detecting deforestation increments in the Eastern Acre region
title_full A comparison between Landsat ETM+ and MODIS/TERRA images for detecting deforestation increments in the Eastern Acre region
title_fullStr A comparison between Landsat ETM+ and MODIS/TERRA images for detecting deforestation increments in the Eastern Acre region
title_full_unstemmed A comparison between Landsat ETM+ and MODIS/TERRA images for detecting deforestation increments in the Eastern Acre region
title_sort comparison between landsat etm+ and modis/terra images for detecting deforestation increments in the eastern acre region
publisher Universidade Federal de Uberlândia
series Revista Brasileira de Cartografia
issn 0560-4613
1808-0936
publishDate 2005-08-01
description In this paper we evaluated the capacity of MODIS images with 250 m spatial resolution to detect and map deforestation increments relative to the capacity of Landsat ETM+ images. This study was conducted in the state of Acre covering an area of 34,225 km². Our results show that the 250 m MODIS images are highly accurate to detected deforestation larger than 3 ha. Additionally, MODIS can be used to estimate the area subject to deforestation with increments larger than 70 ha with an error of less than 5% relative to the estimates obtained with Landsat images. Finally, we estimated that 86% of the total area deforested in the state of Acre between 2002 and 2003 can be detected and mapped with MODIS. Therefore, the 250 m-pixel MODIS images can be useful to monitor the forest changes due to deforestation in the Brazilian Amazon in more regular basis, overcoming the low temporal coverage of Landsat due to frequent cloud cover in the region.
topic Remote sensing
deforestation
Amazon
MODIS
Landsat.
url http://www.rbc.ufrj.br/_pdf_57_2005/57_2_05.pdf
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